Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers

作     者：Johnston, Robert J. Boyle, Kevin J. Loureiro, Maria L. Navrud, Stale Rolfe, John 

作者机构：Clark Univ George Perkins Marsh Inst 950 Main St Worcester MA 01610 USA Virginia Tech Blacksburg VA USA Univ Santiago de Compostela Santiago De Compostela Spain Norwegian Univ Life Sci Sch Business & Econ As Norway CQUniv Sch Business & Law Rockhampton Qld Australia 

出 版 物：《ENVIRONMENTAL & RESOURCE ECONOMICS》 (环境与资源经济学)

年 卷 期：2021年第79卷第3期

页      面：575-624页

核心收录：

学科分类：02[经济学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0201[经济学-理论经济学] 

基　　金：Research Council of Norway [280393  255777  267834] 

主　　题：Benefit-cost analysis Benefit transfer Best practice Guidance Non-market value Valuation Value transfer 

摘      要：Benefit transfer is the use of pre-existing empirical estimates from one or more settings where research has been conducted previously to predict measures of economic value or related information for other settings. These transfers offer a feasible means to provide information on economic values when time, funding and other constraints impede the use of original valuation studies. The methods used for applied benefit transfers vary widely, however, and it is not always clear why certain procedures were applied or whether alternatives might have led to more credible estimates. Motivated by the importance of benefit transfers for decision-making and the lack of consensus guidance for applied practice, this article provides recommendations for the conduct of valid and reliable transfers, based on the insight from the combined body of benefit transfer research. The primary objectives are to: (a) advance and inform benefit-transfer applications that inform decision making, (b) encourage consensus over key dimensions of best practice for these applications, and (c) focus future research on areas requiring further advances. In doing so, we acknowledge the healthy tension that can exist between best practice as led by the academic literature and practical constraints of real-world applications.